Overview

Dataset statistics

Number of variables21
Number of observations9933
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 MiB
Average record size in memory181.0 B

Variable types

DateTime1
Categorical2
Numeric18

Alerts

date has unique valuesUnique
condicoes de moradia precarias has unique valuesUnique
falta de acesso a servicos de saude has unique valuesUnique
migracao de pessoas de areas endemicas has unique valuesUnique
transporte de mercadorias em areas urbanas has unique valuesUnique
outros has unique valuesUnique
presenca de criadouros has unique valuesUnique
agua parada em terrenos baldios has unique valuesUnique
falta de coleta de lixo has unique valuesUnique
areas com acumulo de entulhos has unique valuesUnique
falta de controle de pragas has unique valuesUnique
umidade has unique valuesUnique
temperatura has unique valuesUnique

Reproduction

Analysis started2024-04-27 18:14:57.566592
Analysis finished2024-04-27 18:15:24.956940
Duration27.39 seconds
Software versionydata-profiling vv4.7.0
Download configurationconfig.json

Variables

date
Date

UNIQUE 

Distinct9933
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size155.2 KiB
Minimum1987-01-01 00:00:00
Maximum2019-11-21 00:00:00
2024-04-27T15:15:25.024771image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:25.136728image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size155.2 KiB
2
5943 
3
2020 
1
1970 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters9933
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row3
5th row2

Common Values

ValueCountFrequency (%)
2 5943
59.8%
3 2020
 
20.3%
1 1970
 
19.8%

Length

2024-04-27T15:15:25.234147image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-27T15:15:25.310576image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
2 5943
59.8%
3 2020
 
20.3%
1 1970
 
19.8%

Most occurring characters

ValueCountFrequency (%)
2 5943
59.8%
3 2020
 
20.3%
1 1970
 
19.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 9933
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
2 5943
59.8%
3 2020
 
20.3%
1 1970
 
19.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 9933
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
2 5943
59.8%
3 2020
 
20.3%
1 1970
 
19.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 9933
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
2 5943
59.8%
3 2020
 
20.3%
1 1970
 
19.8%

condicoes de moradia precarias
Real number (ℝ)

UNIQUE 

Distinct9933
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.40252524
Minimum0.10000343
Maximum0.69991279
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size155.2 KiB
2024-04-27T15:15:25.397620image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.10000343
5-th percentile0.13055691
Q10.24980715
median0.40407626
Q30.55664434
95-th percentile0.67181656
Maximum0.69991279
Range0.59990936
Interquartile range (IQR)0.30683719

Descriptive statistics

Standard deviation0.17448541
Coefficient of variation (CV)0.43347695
Kurtosis-1.2223148
Mean0.40252524
Median Absolute Deviation (MAD)0.15334962
Skewness-0.017239909
Sum3998.2832
Variance0.030445159
MonotonicityNot monotonic
2024-04-27T15:15:25.502643image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2662012066 1
 
< 0.1%
0.5552592631 1
 
< 0.1%
0.4819899785 1
 
< 0.1%
0.2465632176 1
 
< 0.1%
0.5355217049 1
 
< 0.1%
0.6143722553 1
 
< 0.1%
0.6171461947 1
 
< 0.1%
0.4564534844 1
 
< 0.1%
0.2690819865 1
 
< 0.1%
0.433946983 1
 
< 0.1%
Other values (9923) 9923
99.9%
ValueCountFrequency (%)
0.1000034269 1
< 0.1%
0.1000760292 1
< 0.1%
0.1001189764 1
< 0.1%
0.1001283947 1
< 0.1%
0.1001444308 1
< 0.1%
0.1002203801 1
< 0.1%
0.100295271 1
< 0.1%
0.1003802607 1
< 0.1%
0.1005038369 1
< 0.1%
0.1005976657 1
< 0.1%
ValueCountFrequency (%)
0.6999127907 1
< 0.1%
0.6998268271 1
< 0.1%
0.6997899388 1
< 0.1%
0.6997310627 1
< 0.1%
0.6996950748 1
< 0.1%
0.6996085698 1
< 0.1%
0.6995365807 1
< 0.1%
0.6994706883 1
< 0.1%
0.6994093605 1
< 0.1%
0.6993504242 1
< 0.1%

falta de acesso a servicos de saude
Real number (ℝ)

UNIQUE 

Distinct9933
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.27477649
Minimum0.050025807
Maximum0.49992612
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size155.2 KiB
2024-04-27T15:15:25.610926image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.050025807
5-th percentile0.072357717
Q10.16233112
median0.27555871
Q30.38851719
95-th percentile0.47764789
Maximum0.49992612
Range0.44990032
Interquartile range (IQR)0.22618607

Descriptive statistics

Standard deviation0.13004158
Coefficient of variation (CV)0.47326314
Kurtosis-1.2069104
Mean0.27477649
Median Absolute Deviation (MAD)0.11304609
Skewness0.0083124124
Sum2729.3549
Variance0.016910814
MonotonicityNot monotonic
2024-04-27T15:15:25.719677image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.446146684 1
 
< 0.1%
0.2815108989 1
 
< 0.1%
0.2563120444 1
 
< 0.1%
0.2475953587 1
 
< 0.1%
0.06388546925 1
 
< 0.1%
0.4499674311 1
 
< 0.1%
0.2546867449 1
 
< 0.1%
0.2569152643 1
 
< 0.1%
0.3240348037 1
 
< 0.1%
0.4852983519 1
 
< 0.1%
Other values (9923) 9923
99.9%
ValueCountFrequency (%)
0.05002580681 1
< 0.1%
0.0500270149 1
< 0.1%
0.05005796568 1
< 0.1%
0.05010700219 1
< 0.1%
0.05016842787 1
< 0.1%
0.05033732456 1
< 0.1%
0.05033831181 1
< 0.1%
0.05038011125 1
< 0.1%
0.05039379139 1
< 0.1%
0.05039890461 1
< 0.1%
ValueCountFrequency (%)
0.4999261227 1
< 0.1%
0.499855221 1
< 0.1%
0.4998450171 1
< 0.1%
0.4998327603 1
< 0.1%
0.4998310033 1
< 0.1%
0.4998098825 1
< 0.1%
0.4997677179 1
< 0.1%
0.4997084988 1
< 0.1%
0.4997000814 1
< 0.1%
0.4996623569 1
< 0.1%

migracao de pessoas de areas endemicas
Real number (ℝ)

UNIQUE 

Distinct9933
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.45224621
Minimum0.10013826
Maximum0.79996527
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size155.2 KiB
2024-04-27T15:15:25.822178image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.10013826
5-th percentile0.13312514
Q10.27608737
median0.45457774
Q30.63093435
95-th percentile0.76248202
Maximum0.79996527
Range0.69982701
Interquartile range (IQR)0.35484698

Descriptive statistics

Standard deviation0.20325953
Coefficient of variation (CV)0.4494444
Kurtosis-1.2147645
Mean0.45224621
Median Absolute Deviation (MAD)0.17763676
Skewness-0.036643384
Sum4492.1616
Variance0.041314435
MonotonicityNot monotonic
2024-04-27T15:15:25.930415image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3495283713 1
 
< 0.1%
0.6429925919 1
 
< 0.1%
0.465220287 1
 
< 0.1%
0.7411695099 1
 
< 0.1%
0.4098620378 1
 
< 0.1%
0.4394186648 1
 
< 0.1%
0.6705254106 1
 
< 0.1%
0.4424181673 1
 
< 0.1%
0.3378313427 1
 
< 0.1%
0.2964379712 1
 
< 0.1%
Other values (9923) 9923
99.9%
ValueCountFrequency (%)
0.1001382582 1
< 0.1%
0.1001597171 1
< 0.1%
0.1003805172 1
< 0.1%
0.1004946814 1
< 0.1%
0.1006400151 1
< 0.1%
0.1006505095 1
< 0.1%
0.1011627785 1
< 0.1%
0.1011726938 1
< 0.1%
0.1011920342 1
< 0.1%
0.1012480535 1
< 0.1%
ValueCountFrequency (%)
0.799965268 1
< 0.1%
0.7998624392 1
< 0.1%
0.7998586148 1
< 0.1%
0.7998405685 1
< 0.1%
0.7998389237 1
< 0.1%
0.7998165619 1
< 0.1%
0.7997611007 1
< 0.1%
0.7997437763 1
< 0.1%
0.7997227577 1
< 0.1%
0.7994185634 1
< 0.1%
Distinct9933
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.32042663
Minimum0.050010588
Maximum0.59996612
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size155.2 KiB
2024-04-27T15:15:26.033297image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.050010588
5-th percentile0.076986062
Q10.18189771
median0.31895223
Q30.45785101
95-th percentile0.56899132
Maximum0.59996612
Range0.54995553
Interquartile range (IQR)0.2759533

Descriptive statistics

Standard deviation0.15801618
Coefficient of variation (CV)0.4931431
Kurtosis-1.2021687
Mean0.32042663
Median Absolute Deviation (MAD)0.13799462
Skewness0.028754761
Sum3182.7977
Variance0.024969114
MonotonicityNot monotonic
2024-04-27T15:15:26.146068image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5877696263 1
 
< 0.1%
0.5892734931 1
 
< 0.1%
0.1055678168 1
 
< 0.1%
0.2185861991 1
 
< 0.1%
0.4313815584 1
 
< 0.1%
0.1331738169 1
 
< 0.1%
0.08541824849 1
 
< 0.1%
0.4930916435 1
 
< 0.1%
0.4532160615 1
 
< 0.1%
0.3022906885 1
 
< 0.1%
Other values (9923) 9923
99.9%
ValueCountFrequency (%)
0.05001058767 1
< 0.1%
0.05009632934 1
< 0.1%
0.05012424468 1
< 0.1%
0.05012984468 1
< 0.1%
0.05026082833 1
< 0.1%
0.05033818304 1
< 0.1%
0.05044776826 1
< 0.1%
0.05051304565 1
< 0.1%
0.05066807082 1
< 0.1%
0.0507540763 1
< 0.1%
ValueCountFrequency (%)
0.5999661198 1
< 0.1%
0.5999264844 1
< 0.1%
0.5998516729 1
< 0.1%
0.5998058569 1
< 0.1%
0.5997977736 1
< 0.1%
0.599772061 1
< 0.1%
0.5996264371 1
< 0.1%
0.5995466195 1
< 0.1%
0.5995191279 1
< 0.1%
0.5994580379 1
< 0.1%

outros
Real number (ℝ)

UNIQUE 

Distinct9933
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.32870816
Minimum0.050010831
Maximum0.59998195
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size155.2 KiB
2024-04-27T15:15:26.249619image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.050010831
5-th percentile0.08140257
Q10.19223935
median0.33152405
Q30.46522763
95-th percentile0.57209313
Maximum0.59998195
Range0.54997112
Interquartile range (IQR)0.27298828

Descriptive statistics

Standard deviation0.15792086
Coefficient of variation (CV)0.48042879
Kurtosis-1.197509
Mean0.32870816
Median Absolute Deviation (MAD)0.13658412
Skewness-0.024062272
Sum3265.0582
Variance0.024938999
MonotonicityNot monotonic
2024-04-27T15:15:26.359337image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1026358299 1
 
< 0.1%
0.09094057028 1
 
< 0.1%
0.4416194994 1
 
< 0.1%
0.1974662118 1
 
< 0.1%
0.5061851155 1
 
< 0.1%
0.5469133197 1
 
< 0.1%
0.2045337935 1
 
< 0.1%
0.5456978176 1
 
< 0.1%
0.2905584439 1
 
< 0.1%
0.1800511477 1
 
< 0.1%
Other values (9923) 9923
99.9%
ValueCountFrequency (%)
0.05001083055 1
< 0.1%
0.05009880221 1
< 0.1%
0.05020860148 1
< 0.1%
0.05023809332 1
< 0.1%
0.05024089172 1
< 0.1%
0.0502457715 1
< 0.1%
0.05028241353 1
< 0.1%
0.05030905673 1
< 0.1%
0.0505083503 1
< 0.1%
0.05051792069 1
< 0.1%
ValueCountFrequency (%)
0.5999819546 1
< 0.1%
0.5999811803 1
< 0.1%
0.5999424417 1
< 0.1%
0.5998522299 1
< 0.1%
0.5998307822 1
< 0.1%
0.5998117247 1
< 0.1%
0.5997067818 1
< 0.1%
0.5996981821 1
< 0.1%
0.5996655233 1
< 0.1%
0.5996277853 1
< 0.1%

presenca do mosquito
Real number (ℝ)

Distinct9839
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean283881.24
Minimum1023
Maximum999152
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size164.9 KiB
2024-04-27T15:15:26.473336image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1023
5-th percentile14433.4
Q163341
median195830
Q3439359
95-th percentile859764
Maximum999152
Range998129
Interquartile range (IQR)376018

Descriptive statistics

Standard deviation267966.06
Coefficient of variation (CV)0.94393719
Kurtosis-0.036231525
Mean283881.24
Median Absolute Deviation (MAD)154154
Skewness0.995728
Sum2.8197924 × 109
Variance7.1805811 × 1010
MonotonicityNot monotonic
2024-04-27T15:15:26.590253image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
72893 3
 
< 0.1%
73075 2
 
< 0.1%
30293 2
 
< 0.1%
76367 2
 
< 0.1%
95677 2
 
< 0.1%
35423 2
 
< 0.1%
72284 2
 
< 0.1%
60505 2
 
< 0.1%
264315 2
 
< 0.1%
82939 2
 
< 0.1%
Other values (9829) 9912
99.8%
ValueCountFrequency (%)
1023 1
< 0.1%
1042 1
< 0.1%
1078 1
< 0.1%
1081 1
< 0.1%
1098 1
< 0.1%
1124 1
< 0.1%
1159 1
< 0.1%
1170 1
< 0.1%
1192 1
< 0.1%
1248 1
< 0.1%
ValueCountFrequency (%)
999152 1
< 0.1%
998771 1
< 0.1%
998567 1
< 0.1%
998138 1
< 0.1%
998131 1
< 0.1%
998026 1
< 0.1%
997796 1
< 0.1%
997745 1
< 0.1%
997678 1
< 0.1%
997507 1
< 0.1%

status
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size155.2 KiB
parcialmente conscientizada
5943 
desconscientizada
2020 
conscientizada
1970 

Length

Max length27
Median length27
Mean length22.3881
Min length14

Characters and Unicode

Total characters222381
Distinct characters15
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowparcialmente conscientizada
2nd rowparcialmente conscientizada
3rd rowparcialmente conscientizada
4th rowdesconscientizada
5th rowparcialmente conscientizada

Common Values

ValueCountFrequency (%)
parcialmente conscientizada 5943
59.8%
desconscientizada 2020
 
20.3%
conscientizada 1970
 
19.8%

Length

2024-04-27T15:15:26.695533image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-27T15:15:26.772341image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
conscientizada 7913
49.8%
parcialmente 5943
37.4%
desconscientizada 2020
 
12.7%

Most occurring characters

ValueCountFrequency (%)
a 31752
14.3%
i 25809
11.6%
c 25809
11.6%
n 25809
11.6%
e 23839
10.7%
t 15876
7.1%
s 11953
 
5.4%
d 11953
 
5.4%
o 9933
 
4.5%
z 9933
 
4.5%
Other values (5) 29715
13.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 222381
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 31752
14.3%
i 25809
11.6%
c 25809
11.6%
n 25809
11.6%
e 23839
10.7%
t 15876
7.1%
s 11953
 
5.4%
d 11953
 
5.4%
o 9933
 
4.5%
z 9933
 
4.5%
Other values (5) 29715
13.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 222381
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 31752
14.3%
i 25809
11.6%
c 25809
11.6%
n 25809
11.6%
e 23839
10.7%
t 15876
7.1%
s 11953
 
5.4%
d 11953
 
5.4%
o 9933
 
4.5%
z 9933
 
4.5%
Other values (5) 29715
13.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 222381
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 31752
14.3%
i 25809
11.6%
c 25809
11.6%
n 25809
11.6%
e 23839
10.7%
t 15876
7.1%
s 11953
 
5.4%
d 11953
 
5.4%
o 9933
 
4.5%
z 9933
 
4.5%
Other values (5) 29715
13.4%

presenca de criadouros
Real number (ℝ)

UNIQUE 

Distinct9933
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.44834368
Minimum0.1003028
Maximum0.79999675
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size155.2 KiB
2024-04-27T15:15:26.860725image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.1003028
5-th percentile0.13617849
Q10.27468902
median0.44842521
Q30.62307536
95-th percentile0.76357698
Maximum0.79999675
Range0.69969395
Interquartile range (IQR)0.34838634

Descriptive statistics

Standard deviation0.20125088
Coefficient of variation (CV)0.44887635
Kurtosis-1.1943651
Mean0.44834368
Median Absolute Deviation (MAD)0.17447119
Skewness0.0056193956
Sum4453.3978
Variance0.040501915
MonotonicityNot monotonic
2024-04-27T15:15:26.967423image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6011506484 1
 
< 0.1%
0.7602152408 1
 
< 0.1%
0.5137786112 1
 
< 0.1%
0.6968290036 1
 
< 0.1%
0.1238475802 1
 
< 0.1%
0.1460400843 1
 
< 0.1%
0.3924021318 1
 
< 0.1%
0.5867703971 1
 
< 0.1%
0.5606805123 1
 
< 0.1%
0.2012131279 1
 
< 0.1%
Other values (9923) 9923
99.9%
ValueCountFrequency (%)
0.1003028013 1
< 0.1%
0.1003116934 1
< 0.1%
0.1003530055 1
< 0.1%
0.1004007122 1
< 0.1%
0.1005037061 1
< 0.1%
0.1006188452 1
< 0.1%
0.1006233033 1
< 0.1%
0.1007122983 1
< 0.1%
0.1007565326 1
< 0.1%
0.1007942782 1
< 0.1%
ValueCountFrequency (%)
0.7999967548 1
< 0.1%
0.7998905702 1
< 0.1%
0.7997418109 1
< 0.1%
0.7997039114 1
< 0.1%
0.7995135274 1
< 0.1%
0.7995058139 1
< 0.1%
0.7993944352 1
< 0.1%
0.7993588641 1
< 0.1%
0.7990818408 1
< 0.1%
0.7988514841 1
< 0.1%

agua parada em terrenos baldios
Real number (ℝ)

UNIQUE 

Distinct9933
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.39912874
Minimum0.10002278
Maximum0.69994981
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size155.2 KiB
2024-04-27T15:15:27.073100image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.10002278
5-th percentile0.1315817
Q10.24793374
median0.3972397
Q30.54934823
95-th percentile0.67032123
Maximum0.69994981
Range0.59992703
Interquartile range (IQR)0.30141449

Descriptive statistics

Standard deviation0.17325952
Coefficient of variation (CV)0.43409432
Kurtosis-1.2106908
Mean0.39912874
Median Absolute Deviation (MAD)0.15089333
Skewness0.015324059
Sum3964.5458
Variance0.030018861
MonotonicityNot monotonic
2024-04-27T15:15:27.176312image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6863450098 1
 
< 0.1%
0.6906838391 1
 
< 0.1%
0.2073712659 1
 
< 0.1%
0.4120399739 1
 
< 0.1%
0.2808978002 1
 
< 0.1%
0.1469249579 1
 
< 0.1%
0.4816605547 1
 
< 0.1%
0.6014524211 1
 
< 0.1%
0.2853878363 1
 
< 0.1%
0.5616326459 1
 
< 0.1%
Other values (9923) 9923
99.9%
ValueCountFrequency (%)
0.1000227779 1
< 0.1%
0.1000608002 1
< 0.1%
0.1000956743 1
< 0.1%
0.1001525619 1
< 0.1%
0.1002959543 1
< 0.1%
0.1004099258 1
< 0.1%
0.1004645714 1
< 0.1%
0.1004989617 1
< 0.1%
0.1005469656 1
< 0.1%
0.1005615337 1
< 0.1%
ValueCountFrequency (%)
0.6999498078 1
< 0.1%
0.6999365726 1
< 0.1%
0.6998272232 1
< 0.1%
0.6997121382 1
< 0.1%
0.6997022674 1
< 0.1%
0.6996542611 1
< 0.1%
0.6996455502 1
< 0.1%
0.6995309723 1
< 0.1%
0.6994948588 1
< 0.1%
0.6994578891 1
< 0.1%
Distinct4222
Distinct (%)42.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2595.0972
Minimum200
Maximum4999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size164.9 KiB
2024-04-27T15:15:27.280748image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum200
5-th percentile440
Q11391
median2601
Q33788
95-th percentile4750.4
Maximum4999
Range4799
Interquartile range (IQR)2397

Descriptive statistics

Standard deviation1384.7914
Coefficient of variation (CV)0.53361831
Kurtosis-1.2053406
Mean2595.0972
Median Absolute Deviation (MAD)1198
Skewness-0.0027657917
Sum25777100
Variance1917647.1
MonotonicityNot monotonic
2024-04-27T15:15:27.385341image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
221 8
 
0.1%
846 8
 
0.1%
4482 8
 
0.1%
2655 8
 
0.1%
4667 8
 
0.1%
1379 7
 
0.1%
3106 7
 
0.1%
961 7
 
0.1%
4757 7
 
0.1%
1351 7
 
0.1%
Other values (4212) 9858
99.2%
ValueCountFrequency (%)
200 4
< 0.1%
201 1
 
< 0.1%
202 4
< 0.1%
203 6
0.1%
204 5
0.1%
205 4
< 0.1%
206 2
 
< 0.1%
208 4
< 0.1%
209 5
0.1%
211 5
0.1%
ValueCountFrequency (%)
4999 2
 
< 0.1%
4998 3
< 0.1%
4997 2
 
< 0.1%
4996 2
 
< 0.1%
4995 1
 
< 0.1%
4993 1
 
< 0.1%
4992 3
< 0.1%
4991 3
< 0.1%
4990 5
0.1%
4989 3
< 0.1%
Distinct9441
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50490.817
Minimum1007
Maximum99951
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size164.9 KiB
2024-04-27T15:15:27.494155image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1007
5-th percentile5822.8
Q125559
median50479
Q375461
95-th percentile95191
Maximum99951
Range98944
Interquartile range (IQR)49902

Descriptive statistics

Standard deviation28681.494
Coefficient of variation (CV)0.56805368
Kurtosis-1.2004444
Mean50490.817
Median Absolute Deviation (MAD)24946
Skewness-5.0951416 × 10-5
Sum5.0152528 × 108
Variance8.2262811 × 108
MonotonicityNot monotonic
2024-04-27T15:15:27.607010image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
85703 3
 
< 0.1%
83072 3
 
< 0.1%
11128 3
 
< 0.1%
20453 3
 
< 0.1%
57786 3
 
< 0.1%
89442 3
 
< 0.1%
80285 3
 
< 0.1%
71283 3
 
< 0.1%
14223 3
 
< 0.1%
57834 3
 
< 0.1%
Other values (9431) 9903
99.7%
ValueCountFrequency (%)
1007 1
< 0.1%
1008 1
< 0.1%
1023 1
< 0.1%
1043 1
< 0.1%
1083 1
< 0.1%
1109 1
< 0.1%
1121 1
< 0.1%
1130 1
< 0.1%
1146 1
< 0.1%
1149 1
< 0.1%
ValueCountFrequency (%)
99951 1
< 0.1%
99944 2
< 0.1%
99919 1
< 0.1%
99905 1
< 0.1%
99870 1
< 0.1%
99849 1
< 0.1%
99845 1
< 0.1%
99836 1
< 0.1%
99826 1
< 0.1%
99817 1
< 0.1%

falta de coleta de lixo
Real number (ℝ)

UNIQUE 

Distinct9933
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.32221887
Minimum0.050019353
Maximum0.59991245
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size155.2 KiB
2024-04-27T15:15:27.709800image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.050019353
5-th percentile0.076350718
Q10.18608413
median0.31903251
Q30.45761875
95-th percentile0.57149178
Maximum0.59991245
Range0.5498931
Interquartile range (IQR)0.27153462

Descriptive statistics

Standard deviation0.158513
Coefficient of variation (CV)0.49194201
Kurtosis-1.188263
Mean0.32221887
Median Absolute Deviation (MAD)0.13579911
Skewness0.020261839
Sum3200.6
Variance0.02512637
MonotonicityNot monotonic
2024-04-27T15:15:27.811992image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1297413582 1
 
< 0.1%
0.2465739854 1
 
< 0.1%
0.5863538208 1
 
< 0.1%
0.1140318003 1
 
< 0.1%
0.5374600675 1
 
< 0.1%
0.1348420734 1
 
< 0.1%
0.06561938332 1
 
< 0.1%
0.2603496094 1
 
< 0.1%
0.09745382245 1
 
< 0.1%
0.3026758131 1
 
< 0.1%
Other values (9923) 9923
99.9%
ValueCountFrequency (%)
0.05001935257 1
< 0.1%
0.05007167207 1
< 0.1%
0.05009667442 1
< 0.1%
0.05010818048 1
< 0.1%
0.05014169224 1
< 0.1%
0.0501842167 1
< 0.1%
0.05019585277 1
< 0.1%
0.05031999865 1
< 0.1%
0.0503305086 1
< 0.1%
0.05033245641 1
< 0.1%
ValueCountFrequency (%)
0.5999124532 1
< 0.1%
0.5998937976 1
< 0.1%
0.5997464502 1
< 0.1%
0.5997100664 1
< 0.1%
0.599690213 1
< 0.1%
0.5996533491 1
< 0.1%
0.5996226072 1
< 0.1%
0.5995032874 1
< 0.1%
0.5994953006 1
< 0.1%
0.5994500249 1
< 0.1%

areas com acumulo de entulhos
Real number (ℝ)

UNIQUE 

Distinct9933
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.45092201
Minimum0.10030344
Maximum0.79998079
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size155.2 KiB
2024-04-27T15:15:27.925618image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.10030344
5-th percentile0.13435338
Q10.27747557
median0.4494143
Q30.62447643
95-th percentile0.76439186
Maximum0.79998079
Range0.69967735
Interquartile range (IQR)0.34700086

Descriptive statistics

Standard deviation0.20165206
Coefficient of variation (CV)0.44719943
Kurtosis-1.1923634
Mean0.45092201
Median Absolute Deviation (MAD)0.17412864
Skewness-0.010086552
Sum4479.0083
Variance0.040663555
MonotonicityNot monotonic
2024-04-27T15:15:28.039863image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7367305263 1
 
< 0.1%
0.3448818945 1
 
< 0.1%
0.2986459857 1
 
< 0.1%
0.4261978367 1
 
< 0.1%
0.113950806 1
 
< 0.1%
0.19718334 1
 
< 0.1%
0.7088250945 1
 
< 0.1%
0.4522462047 1
 
< 0.1%
0.2350872619 1
 
< 0.1%
0.5603837895 1
 
< 0.1%
Other values (9923) 9923
99.9%
ValueCountFrequency (%)
0.1003034413 1
< 0.1%
0.1003763958 1
< 0.1%
0.1003982609 1
< 0.1%
0.1006080934 1
< 0.1%
0.1006604511 1
< 0.1%
0.1006747105 1
< 0.1%
0.1006755254 1
< 0.1%
0.1010391482 1
< 0.1%
0.1012014881 1
< 0.1%
0.1012790619 1
< 0.1%
ValueCountFrequency (%)
0.7999807902 1
< 0.1%
0.7999590994 1
< 0.1%
0.799800854 1
< 0.1%
0.7996900404 1
< 0.1%
0.79955707 1
< 0.1%
0.799540496 1
< 0.1%
0.7995296146 1
< 0.1%
0.7994891722 1
< 0.1%
0.7994673141 1
< 0.1%
0.7992980612 1
< 0.1%

falta de controle de pragas
Real number (ℝ)

UNIQUE 

Distinct9933
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2754389
Minimum0.050001855
Maximum0.49985469
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size155.2 KiB
2024-04-27T15:15:28.149575image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.050001855
5-th percentile0.074946159
Q10.16302851
median0.27472454
Q30.3859459
95-th percentile0.47731667
Maximum0.49985469
Range0.44985283
Interquartile range (IQR)0.22291738

Descriptive statistics

Standard deviation0.12901934
Coefficient of variation (CV)0.46841364
Kurtosis-1.1913456
Mean0.2754389
Median Absolute Deviation (MAD)0.11152874
Skewness0.011924794
Sum2735.9346
Variance0.01664599
MonotonicityNot monotonic
2024-04-27T15:15:28.253547image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.08130698893 1
 
< 0.1%
0.3733123536 1
 
< 0.1%
0.3732969003 1
 
< 0.1%
0.3322062734 1
 
< 0.1%
0.165414437 1
 
< 0.1%
0.4569600201 1
 
< 0.1%
0.2950726859 1
 
< 0.1%
0.2509805354 1
 
< 0.1%
0.09335810725 1
 
< 0.1%
0.2380019024 1
 
< 0.1%
Other values (9923) 9923
99.9%
ValueCountFrequency (%)
0.0500018546 1
< 0.1%
0.05008599534 1
< 0.1%
0.05008600022 1
< 0.1%
0.05010669043 1
< 0.1%
0.05019021855 1
< 0.1%
0.05025232027 1
< 0.1%
0.05030731843 1
< 0.1%
0.05033417954 1
< 0.1%
0.05036315203 1
< 0.1%
0.05040969799 1
< 0.1%
ValueCountFrequency (%)
0.499854686 1
< 0.1%
0.4996521148 1
< 0.1%
0.4996254496 1
< 0.1%
0.4995702951 1
< 0.1%
0.4995262721 1
< 0.1%
0.4995083222 1
< 0.1%
0.4993090096 1
< 0.1%
0.4992446816 1
< 0.1%
0.4992394545 1
< 0.1%
0.4991267339 1
< 0.1%
Distinct16
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.82454458
Minimum0.43000103
Maximum0.95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size155.2 KiB
2024-04-27T15:15:28.339914image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.43000103
5-th percentile0.47252601
Q10.72733722
median0.95
Q30.95
95-th percentile0.95
Maximum0.95
Range0.51999897
Interquartile range (IQR)0.22266278

Descriptive statistics

Standard deviation0.16866899
Coefficient of variation (CV)0.20456019
Kurtosis-0.43644478
Mean0.82454458
Median Absolute Deviation (MAD)0
Skewness-1.0190231
Sum8190.2014
Variance0.02844923
MonotonicityIncreasing
2024-04-27T15:15:28.420316image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.95 5418
54.5%
0.5411226472 314
 
3.2%
0.5150967342 311
 
3.1%
0.5919352446 307
 
3.1%
0.7273372196 305
 
3.1%
0.6879101015 305
 
3.1%
0.4725260092 303
 
3.1%
0.6408301849 302
 
3.0%
0.8402139361 301
 
3.0%
0.7921939893 301
 
3.0%
Other values (6) 1766
 
17.8%
ValueCountFrequency (%)
0.4300010258 288
2.9%
0.4725260092 303
3.1%
0.5150967342 311
3.1%
0.5411226472 314
3.2%
0.5650782053 298
3.0%
0.5919352446 307
3.1%
0.6408301849 302
3.0%
0.6879101015 305
3.1%
0.7273372196 305
3.1%
0.7470207596 297
3.0%
ValueCountFrequency (%)
0.95 5418
54.5%
0.9051078323 293
 
2.9%
0.8576602441 298
 
3.0%
0.8402139361 301
 
3.0%
0.8105486725 292
 
2.9%
0.7921939893 301
 
3.0%
0.7470207596 297
 
3.0%
0.7273372196 305
 
3.1%
0.6879101015 305
 
3.1%
0.6408301849 302
 
3.0%

precipitacao
Real number (ℝ)

Distinct9930
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.3162
Minimum0.009322
Maximum299.96658
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size155.2 KiB
2024-04-27T15:15:28.510457image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.009322
5-th percentile7.5059164
Q127.525432
median53.844834
Q3106.83358
95-th percentile262.01716
Maximum299.96658
Range299.95726
Interquartile range (IQR)79.308152

Descriptive statistics

Standard deviation78.533599
Coefficient of variation (CV)0.93141767
Kurtosis0.41325887
Mean84.3162
Median Absolute Deviation (MAD)33.725235
Skewness1.2347929
Sum837512.82
Variance6167.5261
MonotonicityNot monotonic
2024-04-27T15:15:28.615328image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
61.711604 2
 
< 0.1%
14.48708 2
 
< 0.1%
20.263528 2
 
< 0.1%
98.634479 1
 
< 0.1%
203.604962 1
 
< 0.1%
277.842738 1
 
< 0.1%
206.005178 1
 
< 0.1%
65.954661 1
 
< 0.1%
231.057579 1
 
< 0.1%
248.847417 1
 
< 0.1%
Other values (9920) 9920
99.9%
ValueCountFrequency (%)
0.009322 1
< 0.1%
0.0213 1
< 0.1%
0.025189 1
< 0.1%
0.057001 1
< 0.1%
0.06715 1
< 0.1%
0.077815 1
< 0.1%
0.084768 1
< 0.1%
0.086276 1
< 0.1%
0.097267 1
< 0.1%
0.118873 1
< 0.1%
ValueCountFrequency (%)
299.966579 1
< 0.1%
299.958662 1
< 0.1%
299.850209 1
< 0.1%
299.83356 1
< 0.1%
299.769304 1
< 0.1%
299.764433 1
< 0.1%
299.675239 1
< 0.1%
299.650407 1
< 0.1%
299.638957 1
< 0.1%
299.551276 1
< 0.1%

umidade
Real number (ℝ)

UNIQUE 

Distinct9933
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.007132
Minimum40.005175
Maximum94.995987
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size155.2 KiB
2024-04-27T15:15:28.721169image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum40.005175
5-th percentile44.703866
Q156.531434
median65.37972
Q374.709408
95-th percentile89.935541
Maximum94.995987
Range54.990812
Interquartile range (IQR)18.177974

Descriptive statistics

Standard deviation12.959257
Coefficient of variation (CV)0.19633117
Kurtosis-0.53422357
Mean66.007132
Median Absolute Deviation (MAD)9.1043535
Skewness0.1977095
Sum655648.84
Variance167.94235
MonotonicityNot monotonic
2024-04-27T15:15:28.827209image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
74.02163852 1
 
< 0.1%
88.11733926 1
 
< 0.1%
61.23258226 1
 
< 0.1%
77.43481626 1
 
< 0.1%
73.51680304 1
 
< 0.1%
60.29953695 1
 
< 0.1%
61.62925077 1
 
< 0.1%
86.11082847 1
 
< 0.1%
79.91213538 1
 
< 0.1%
72.68602697 1
 
< 0.1%
Other values (9923) 9923
99.9%
ValueCountFrequency (%)
40.00517502 1
< 0.1%
40.00909223 1
< 0.1%
40.01087732 1
< 0.1%
40.01710134 1
< 0.1%
40.03548552 1
< 0.1%
40.04004523 1
< 0.1%
40.04125081 1
< 0.1%
40.04138861 1
< 0.1%
40.04859626 1
< 0.1%
40.0637032 1
< 0.1%
ValueCountFrequency (%)
94.99598727 1
< 0.1%
94.98554214 1
< 0.1%
94.98297759 1
< 0.1%
94.96039523 1
< 0.1%
94.95830832 1
< 0.1%
94.95404884 1
< 0.1%
94.94076882 1
< 0.1%
94.93988418 1
< 0.1%
94.92478266 1
< 0.1%
94.91568351 1
< 0.1%

temperatura
Real number (ℝ)

UNIQUE 

Distinct9933
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.225542
Minimum14.003989
Maximum37.991244
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size155.2 KiB
2024-04-27T15:15:28.930713image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum14.003989
5-th percentile16.202242
Q121.570211
median24.937783
Q328.588088
95-th percentile35.394914
Maximum37.991244
Range23.987255
Interquartile range (IQR)7.0178773

Descriptive statistics

Standard deviation5.3078437
Coefficient of variation (CV)0.21041545
Kurtosis-0.26562864
Mean25.225542
Median Absolute Deviation (MAD)3.5242464
Skewness0.23078234
Sum250565.31
Variance28.173205
MonotonicityNot monotonic
2024-04-27T15:15:29.032518image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24.82306862 1
 
< 0.1%
37.11382546 1
 
< 0.1%
29.59600294 1
 
< 0.1%
29.41869749 1
 
< 0.1%
27.84672981 1
 
< 0.1%
30.39852044 1
 
< 0.1%
37.72878909 1
 
< 0.1%
37.1197773 1
 
< 0.1%
35.67784082 1
 
< 0.1%
36.55605585 1
 
< 0.1%
Other values (9923) 9923
99.9%
ValueCountFrequency (%)
14.00398901 1
< 0.1%
14.00402126 1
< 0.1%
14.01112825 1
< 0.1%
14.0227621 1
< 0.1%
14.02919408 1
< 0.1%
14.03688988 1
< 0.1%
14.03695891 1
< 0.1%
14.03920484 1
< 0.1%
14.04023337 1
< 0.1%
14.04270033 1
< 0.1%
ValueCountFrequency (%)
37.99124442 1
< 0.1%
37.98984718 1
< 0.1%
37.9894853 1
< 0.1%
37.98288232 1
< 0.1%
37.98211043 1
< 0.1%
37.97200859 1
< 0.1%
37.96892704 1
< 0.1%
37.9638819 1
< 0.1%
37.96327858 1
< 0.1%
37.96185394 1
< 0.1%

casos de dengue
Real number (ℝ)

Distinct7545
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43275.832
Minimum0
Maximum697515
Zeros3
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size164.9 KiB
2024-04-27T15:15:29.137818image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile74
Q1796
median10440
Q341242
95-th percentile216992.6
Maximum697515
Range697515
Interquartile range (IQR)40446

Descriptive statistics

Standard deviation77216.301
Coefficient of variation (CV)1.7842823
Kurtosis8.0601942
Mean43275.832
Median Absolute Deviation (MAD)10113
Skewness2.6519352
Sum4.2985884 × 108
Variance5.9623571 × 109
MonotonicityNot monotonic
2024-04-27T15:15:29.247818image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32 15
 
0.2%
34 12
 
0.1%
39 11
 
0.1%
41 11
 
0.1%
24 11
 
0.1%
64 11
 
0.1%
82 11
 
0.1%
55 11
 
0.1%
62 11
 
0.1%
30 10
 
0.1%
Other values (7535) 9819
98.9%
ValueCountFrequency (%)
0 3
 
< 0.1%
1 9
0.1%
2 8
0.1%
3 5
0.1%
4 8
0.1%
5 8
0.1%
6 3
 
< 0.1%
7 8
0.1%
8 6
0.1%
9 7
0.1%
ValueCountFrequency (%)
697515 1
< 0.1%
605319 1
< 0.1%
595456 1
< 0.1%
593349 1
< 0.1%
570071 1
< 0.1%
545971 1
< 0.1%
532744 1
< 0.1%
529711 1
< 0.1%
527163 1
< 0.1%
518576 1
< 0.1%

Interactions

2024-04-27T15:15:23.111948image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:14:58.102130image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:14:59.664449image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:01.038052image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:02.668857image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:04.049301image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:05.395119image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:06.749519image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:08.416840image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:09.839376image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:11.237038image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:12.660066image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:14.385914image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:15.851676image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:17.219731image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:18.580962image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:19.981485image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:21.755925image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:23.193474image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:14:58.374326image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:14:59.739264image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:01.119404image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:02.746354image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:04.127218image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:05.473133image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:06.828102image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:08.497319image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:09.917391image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:11.328026image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:12.738693image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:14.472660image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:15.928430image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:17.298158image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:18.661406image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:20.058152image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:21.832186image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:23.273067image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:14:58.446028image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:14:59.809184image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:01.197511image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:02.818411image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:04.197178image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:05.546459image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:06.901899image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:08.570312image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:09.988929image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:11.402490image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:12.810394image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:14.550890image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:16.004761image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:17.368199image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:18.735314image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:20.130025image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:21.904711image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:23.356626image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:14:58.525908image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:14:59.888194image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:01.280306image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:02.898804image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:04.277358image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:05.627276image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:06.987694image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:08.649463image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:10.069729image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:11.485562image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:12.894464image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:14.636269image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:16.085987image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:17.449954image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:18.816079image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:20.214000image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:21.985379image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:23.436864image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:14:58.603040image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:14:59.969828image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:01.360067image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:02.972078image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:04.351215image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:05.700958image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:07.067023image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:08.724821image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:10.145695image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:11.572039image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:12.972744image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:14.713256image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:16.163478image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:17.524777image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:18.891514image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:20.293984image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:22.059822image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:23.516802image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:14:58.678423image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:00.065476image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:01.436083image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:03.047142image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:04.423820image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:05.778155image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:07.141007image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:08.816187image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:10.219463image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:11.647556image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:13.047704image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:14.793659image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:16.237080image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:17.598088image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:18.966933image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:20.367940image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:22.133133image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:23.596931image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:14:58.753605image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:00.142840image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:01.512956image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:03.129177image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:04.495951image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:05.851068image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:07.474604image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:08.899092image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:10.294342image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:11.724212image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:13.123871image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:14.872352image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:16.313029image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:17.673901image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:19.044125image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:20.442563image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:22.206123image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:23.680856image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:14:58.832848image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:00.222253image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:01.596920image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:03.212105image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:04.574614image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:05.931329image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:07.556014image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:08.980721image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:10.386625image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:11.805911image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:13.207520image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:14.958869image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:16.394644image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:17.755412image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:19.129205image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:20.524779image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:22.291373image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:23.764048image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:14:58.910390image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:00.298792image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:01.677093image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:03.288321image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:04.649391image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:06.006561image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:07.638012image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:09.056288image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:10.468949image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:11.886841image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:13.288372image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:15.042520image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:16.474653image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:17.830924image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:19.209696image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:20.602300image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:22.364750image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:23.844553image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:14:58.984298image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:00.371614image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:01.755997image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:03.367333image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:04.729605image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:06.083531image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:07.715463image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:09.131030image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:10.541712image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:11.965790image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:13.363838image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:15.129881image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:16.548594image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:17.906673image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:19.287182image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:20.679518image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:22.440020image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:23.923000image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:14:59.062053image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:00.444260image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:01.833642image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:03.443250image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:04.802997image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:06.155855image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:07.791379image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:09.206061image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:10.616394image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:12.042018image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:13.442257image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:15.207785image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:16.623832image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:17.982249image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:19.365173image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:20.753959image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:22.512770image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:24.004172image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:14:59.134731image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:00.519135image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:01.911631image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:03.517884image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:04.878940image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:06.230570image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:07.869480image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:09.282339image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:10.690531image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:12.120667image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:13.518134image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:15.286887image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:16.698318image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:18.057723image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:19.441836image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:20.828702image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:22.589318image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:24.090433image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:14:59.214512image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:00.596378image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:01.992455image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:03.596756image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:04.955331image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:06.311017image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:07.951863image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:09.364809image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:10.777985image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:12.203937image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:13.917024image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:15.370173image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:16.778979image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:18.136598image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:19.527355image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:20.910127image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:22.666357image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:24.167028image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:14:59.286437image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:00.666237image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:02.067184image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:03.670795image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:05.024330image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:06.382231image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:08.025838image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:09.437791image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:10.852067image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:12.278956image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:13.990945image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:15.448307image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:16.848531image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:18.206789image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:19.601062image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:20.982670image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:22.739847image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:24.241792image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:14:59.360605image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:00.736635image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:02.143592image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:03.743312image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:05.095394image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:06.453149image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:08.097956image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:09.535634image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:10.924512image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:12.352289image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:14.070389image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:15.525098image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:16.919675image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:18.279497image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:19.673848image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:21.055842image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:22.812142image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:24.322772image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:14:59.437238image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:00.810809image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:02.432990image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:03.819805image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:05.172097image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:06.528733image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:08.176341image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:09.612209image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:11.004279image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:12.429918image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:14.151214image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:15.609239image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:16.995304image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:18.353878image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:19.749957image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:21.134495image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:22.887256image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:24.402905image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:14:59.511335image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:00.882630image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:02.509305image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:03.892977image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:05.244840image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:06.599370image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:08.259021image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:09.687898image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:11.081449image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:12.504773image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:14.226089image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:15.689161image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:17.069605image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:18.427666image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:19.828597image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:21.210822image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:22.957640image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:24.484086image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:14:59.584188image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:00.953117image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:02.584605image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:03.964871image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:05.317059image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:06.670464image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:08.334626image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:09.759166image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:11.152968image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:12.577974image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:14.303365image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:15.766533image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:17.142254image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:18.498907image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:19.901131image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:21.284158image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-27T15:15:23.026536image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Missing values

2024-04-27T15:15:24.616553image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-27T15:15:24.850779image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

dateconscientizacao da populacaocondicoes de moradia precariasfalta de acesso a servicos de saudemigracao de pessoas de areas endemicastransporte de mercadorias em areas urbanasoutrospresenca do mosquitostatuspresenca de criadourosagua parada em terrenos baldiospresenca de piscinas sem manutencaopresenca de recipientes sem tampasfalta de coleta de lixoareas com acumulo de entulhosfalta de controle de pragastaxa de tratamento de esgotoprecipitacaoumidadetemperaturacasos de dengue
01987-01-0120.55530.28150.64300.58930.0909874324parcialmente conscientizada0.76020.6907305755010.24660.34490.37330.4300168.814688.117337.1138270499
21987-01-0220.48200.25630.46520.10560.4416869290parcialmente conscientizada0.51380.20741696636090.58640.29860.37330.4300148.661561.232629.5960279224
81987-01-0520.24660.24760.74120.21860.1975681702parcialmente conscientizada0.69680.41204121552190.11400.42620.33220.4300278.151877.434829.418794530
101987-01-0630.53550.06390.40990.43140.5062165624desconscientizada0.12380.28092264697440.53750.11400.16540.4300196.007773.516827.846718161
121987-01-0720.61440.45000.43940.13320.5469363188parcialmente conscientizada0.14600.14691868928440.13480.19720.45700.4300179.537460.299530.3985177773
141987-01-0810.61710.25470.67050.08540.2045711708conscientizada0.39240.4817408111280.06560.70880.29510.4300191.341961.629337.728875470
201987-01-1110.45650.25690.44240.49310.5457313429conscientizada0.58680.60151885159690.26030.45220.25100.430084.988086.110837.119888830
241987-01-1330.26910.32400.33780.45320.2906800875desconscientizada0.56070.28541653905850.09750.23510.09340.4300290.487079.912135.6778165643
261987-01-1420.43390.48530.29640.30230.1801940431parcialmente conscientizada0.20120.56163444185470.30270.56040.23800.4300243.002472.686036.5561302708
281987-01-1530.42110.05950.31170.45390.2015946387desconscientizada0.18230.29093729187660.49000.58940.42880.4300157.230176.301531.992050462
dateconscientizacao da populacaocondicoes de moradia precariasfalta de acesso a servicos de saudemigracao de pessoas de areas endemicastransporte de mercadorias em areas urbanasoutrospresenca do mosquitostatuspresenca de criadourosagua parada em terrenos baldiospresenca de piscinas sem manutencaopresenca de recipientes sem tampasfalta de coleta de lixoareas com acumulo de entulhosfalta de controle de pragastaxa de tratamento de esgotoprecipitacaoumidadetemperaturacasos de dengue
240062019-11-1110.61610.39970.56760.50360.4072129896conscientizada0.62530.1973971485120.41880.33480.17550.950034.418477.900820.65436878
240082019-11-1230.57410.44300.67660.48980.1562223927desconscientizada0.37160.66622647359720.36990.61350.23510.950059.340052.062523.707212148
240102019-11-1310.43350.21630.76570.11640.2479109989conscientizada0.78070.35954083814410.57150.48120.47860.950029.865172.424228.92565920
240122019-11-1420.48680.21250.21240.23580.3876462955parcialmente conscientizada0.47590.13341058291790.19050.68240.34100.950018.407773.395124.328323359
240142019-11-1520.18420.44640.13310.23830.5044155422parcialmente conscientizada0.48420.22092923735350.50290.11560.37910.950012.258576.336327.79678879
240162019-11-1630.14690.30880.79640.58710.2586286262desconscientizada0.23090.29142004924210.37400.63990.17200.950035.820564.891427.261813986
240202019-11-1810.47130.13800.77930.57130.353288445conscientizada0.19920.59064127236760.07720.23550.36480.950094.254053.965229.41534099
240222019-11-1920.27490.38680.56010.29370.477437606parcialmente conscientizada0.18480.30454129132620.59440.52810.40000.950090.771575.985229.05972126
240242019-11-2030.27220.33950.11800.13860.2157369384desconscientizada0.63820.23904725323090.48660.10930.29130.950054.469069.482823.421224918
240262019-11-2130.26620.44610.34950.58780.1026299842desconscientizada0.60120.68632218569960.12970.73670.08130.950077.269474.021624.823116854